personalitylinmult.inference.cli
================================

.. py:module:: personalitylinmult.inference.cli

.. autoapi-nested-parse::

   Command-line inference: features in, Big Five scores out.

   .. rubric:: Example

   Predict with the audio-only model from an ``.npz`` of features::

       uv run python -m personalitylinmult.inference             --checkpoint results/FI/bigfive/checkpoints/best.ckpt             --features clip_features.npz

   The ``.npz`` holds one ``(T, F)`` array per feature the model expects, keyed by
   feature name (``wavlm``, ``emotion2vec``, ...).



Attributes
----------

.. autoapisummary::

   personalitylinmult.inference.cli.logger


Functions
---------

.. autoapisummary::

   personalitylinmult.inference.cli.load_features
   personalitylinmult.inference.cli.main


Module Contents
---------------

.. py:data:: logger

   Module-level logger.

.. py:function:: load_features(path: pathlib.Path) -> dict[str, numpy.ndarray]

   Load a ``{feature_name: (T, F)}`` mapping from an ``.npz`` file.

   :param path: Path to a ``.npz`` with one array per feature.
   :type path: Path

   :returns: The feature mapping.
   :rtype: dict[str, np.ndarray]


.. py:function:: main() -> None

   CLI entry point.